Certification Course in Reinforcement Learning

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Course Content

Introduction to Reinforcement Learning

Multi-Armed Bandits and Fundamental RL Concepts

Model-Free RL: Monte Carlo & Temporal Difference Learning

Deep Reinforcement Learning (Deep RL)

Advanced RL Algorithms

Applications of RL in Robotics and Games

RL for Finance, Healthcare, and Real-World Applications

Distributed RL and Multi-Agent Systems

RL Deployment, Performance Optimization, and Ethical Considerations

Capstone Project and Certification Exam